Evidence map›Paper›PMID 42306797›Full record

ArticleFrontiers in oncology2026

Novel models for predicting individualized outcomes in patients with advanced hepatocellular carcinoma receiving immunotherapy.

Chao Chen, Yang Wang, Yan Zhao, Wenyan Cao, Ao Chen, Xiufeng Liu, Zhan Shi, Jie Shen

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chao Chen *Comprehensive Cancer Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
Yang Wang *Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Yan ZhaoComprehensive Cancer Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
Wenyan CaoComprehensive Cancer Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
Ao ChenDepartment of Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Xiufeng LiuDepartment of Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Zhan ShiComprehensive Cancer Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
Jie ShenComprehensive Cancer Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aim to develop a nomogram that can effectively differentiate target hepatocellular carcinoma (HCC) patients to receive immunotherapy and categorize their risk levels. Methods: This retrospective study analyzed 328 patients with HCC who had received anti-programmed cell death-1 (PD-1) drugs between January 2019 and December 2022. Univariate and multivariate Cox regression analyses were used to identify potential prognostic factors. The novel nomograms were then established based on the above independent predictors and assessed by Harrell's concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, and decision curve analyses (DCA). Kaplan-Meier curves were performed to estimate the progression-free survival (PFS) and overall survival (OS) based on risk scores. Results: Survival analyses identified the treatment sequence, disease progression with bone or lymph node, and Child-Pugh classification as prognostic factors for PFS and Barcelona Clinic Liver Cancer (BCLC) stage, Child-Pugh stage, ascites, Eastern Cooperative Oncology Group Performance Status (ECOG PS), surgery, disease progression with lymph node, and neutrophil-to-lymphocyte ratio (NLR) for OS. The PFS model had a C-index of 0.657 (0.609-0.705), matching validation set performance [0.657 (0.582-0.733)]. OS model C-indices were 0.787 (0.748-0.826) and 0.671 (0.606-0.736) for training and validation cohorts. Calibration plots and DCA curves indicated high accuracy and applicability. Significant differences in OS and PFS times were observed between low- and high-risk groups based on current nomogram points ( Conclusions: The prognostic nomogram based on patients' demographics and clinicopathological factors showed reliable efficacy in predicting survival benefits in intermediate and advanced-stage HCC patients following immunotherapy, aiding in individual decision-making.

Indexed as

hepatocellular carcinomaimmunotherapynomogrampredictorsurvival

Identifiers

PMID42306797
PMCPMC13265359

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.